AI Field Engineer – FW-AI
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Job Description
AI Field Engineer embedding with Fireworks AI enterprise customers. Building production GenAI integrations, guiding model strategy, and advancing technical sales.
Responsibilities:
- Lead technical discovery calls, scope POCs, and run load tests and evaluations
- Build end-to-end POCs and production integrations inside customer environments
- Navigate customer infrastructure, security requirements, and organizational constraints
- Guide customers on model selection, fine-tuning strategy, and evaluation frameworks
- Move customers from open-model exploration to production at scale
- Manage multi-stakeholder enterprise relationships
- Identify technical champions, navigate organizational politics, and align stakeholders to advance deals
- Feed recurring customer pain points and deployment patterns back into the product roadmap
- Act as a feedback loop between the field and engineering
Requirements:
- 4+ years of experience
- Deep hands-on experience with LLM inference and/or training
- Working knowledge of open-model frameworks: vLLM, SGLang, TensorRT-LLM
- Fine-tuning workflow experience: SFT at minimum; DPO/RFT a strong plus
- Proven ability to ship production code inside a customer's environment
- Strong Python skills
- GPU/cloud infrastructure experience with AWS, Azure, or GCP
- Comfort with Kubernetes
- Executive presence and enterprise navigation skills
- Pre-sales or customer-facing field engineering experience (FDE, Applied AI Engineer, Solutions Architect, or similar)
- GenAI infrastructure management, including deploying and operating open-model inference
- Hyperscaler experience in an AI capacity
- Experience in client-facing AI/ML roles
- Domestic travel to enterprise customers as needed
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